Load Altering Attacks Detection, Reconstruction and Mitigationfor Cyber-Security in Smart Grids with Battery Energy Storage Systems
Rinaldi, G; Cucuzzella, M; Prathyush, M; et al.Ferrara, A; Edwards, C
Date: 14 July 2022
Conference paper
Publisher
European Control Conference
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Abstract
In this paper, a novel scheme inspired by the
Super-Twisting Sliding Mode Algorithm (STA) is proposed to
detect, reconstruct and mitigate resonance load altering cyber
attacks in smart grids. In the existing literature, it has been
shown that these attacks are difficult to be detected by the
control centre, as they are often ...
In this paper, a novel scheme inspired by the
Super-Twisting Sliding Mode Algorithm (STA) is proposed to
detect, reconstruct and mitigate resonance load altering cyber
attacks in smart grids. In the existing literature, it has been
shown that these attacks are difficult to be detected by the
control centre, as they are often characterised by relatively
small power oscillations. Nonetheless, they can degrade the
energy balance of the smart grid by making the frequency
oscillating outside the tolerable limits. These attacks can further
bring disruptive consequences, such as widespread blackouts
and the disconnection of an area from the grid. In this study, it is
shown that Battery Energy Storage Systems (BESSs) controlled
by an observer-based STA can effectively mitigate the impact
of these attacks on a smart grid. Specifically, an STA observer
is created to detect and reconstruct in real-time load altering
cyber attacks in a decentralised fashion. The estimation of the
attack is then utilised as a set-point for a decentralised STAbased
controller to dynamically regulate the output power of the
BESS. The simulation results, which account for three possible
scenarios, demonstrate the effectiveness of the proposed scheme.
Engineering
Faculty of Environment, Science and Economy
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